Ovii Job Board

Data Science Manager - Application Fraud

SentiLink

United States • Remote - United States • Full-Time • 10+ years

Posted 2026-06-24 USD 210,000 - USD 260,000 per year Tech & Engg

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Job Description

Ovii's Interpretation of the Role

SentiLink seeks a Data Science Manager to lead a growing team that builds fraud detection models for identity verification. The role blends hands‑on ML development, production engineering, and people management in a fast‑paced, remote‑first environment.

Role Snapshot

  • Manage and grow a team of data scientists
  • Lead end‑to‑end fraud detection model lifecycle
  • Mentor technical direction and career growth
  • Collaborate with senior leadership, product and engineering
  • Drive business‑impactful analytics and insights
  • Own production code for real‑time decisioning

Must-Have Requirements

  • Python 3
  • PostgreSQL
  • AWS (EC2, S3, RDS, Redshift)
  • Machine Learning
  • Statistical Modeling
  • Feature Engineering
  • Production‑grade code
  • People Management
  • Data science leadership
  • Machine learning model development
  • Team management
  • Master's degree in a relevant field
  • PhD in a relevant field
  • must be legally authorized to work in the United States
  • must live in the United States

Nice-to-Have Signals

  • SOTA ML solutions
  • Identity/fintech familiarity
  • Fraud domain knowledge
  • Startup environment
  • State‑of‑the‑art ML

Work Setup

  • Location: United States
  • Work mode: REMOTE
  • Remote scope: COUNTRY_RESTRICTED
  • Remote countries: United States
  • Employment type: Full-Time

Eligibility Gates

  • Work authorization: must be legally authorized to work in the United States
  • Visa sponsorship: no

Not Specified in JD

  • Travel
  • Security clearance

What You'll Likely Work On

  • Directly manage a team of 2‑6 data scientists, hiring and developing talent
  • Provide deep technical mentorship and guide model design decisions
  • Plan, resource, and communicate project status with senior leadership and cross‑functional partners
  • Develop, productionalize, and monitor fraud detection models from data acquisition through feature engineering and evaluation
  • Research emerging fraud types and prototype new identity‑verification products
  • Write reliable production code that powers real‑time decision APIs
  • Design and present analyses that shape product, risk, marketing, and sales strategies

Good Fit If You Have

  • Excellent communicator comfortable presenting to senior stakeholders
  • Strong business intuition for high‑impact DS solutions
  • Proven record solving complex, high‑visibility problems with ML
  • Thrives in fast‑paced, startup‑like environments

Skills

  • Python 3
  • PostgreSQL
  • AWS (EC2, S3, RDS, Redshift)
  • Machine Learning
  • Statistical Modeling
  • Feature Engineering
  • Production‑grade code & testing
  • People Management
  • Startup environment experience
  • Domain research & fraud expertise (optional)

Remote Eligibility

  • United States